Posts by Babynetman

1) Message boards : GPUs : Windows 10 - NVIDIA 3070 GPU - Not Found (Message 110342) Posted 6 Nov 2022 by Babynetman Post: On my Windows 10 desktop, BOINC is not finding the newly insalled NVIDIA RTX 3070. But OpenCL query sees it with no issue. Tried removing and re-installing BOINC and the NVIDIA drivers, but no change to behavior. Any guidance for resolution? BOINC log 11/6/2022 12:49:22 PM \| \| cc_config.xml not found - using defaults 11/6/2022 12:49:22 PM \| \| Starting BOINC client version 7.20.2 for windows_x86_64 11/6/2022 12:49:22 PM \| \| log flags: file_xfer, sched_ops, task 11/6/2022 12:49:22 PM \| \| Libraries: libcurl/7.84.0-DEV Schannel zlib/1.2.12 11/6/2022 12:49:22 PM \| \| Running as a daemon (GPU computing disabled) 11/6/2022 12:49:22 PM \| \| Data directory: C:\ProgramData\BOINC 11/6/2022 12:49:22 PM \| \| Running under account SYSTEM 11/6/2022 12:49:22 PM \| \| No usable GPUs found 11/6/2022 12:49:22 PM \| \| Windows processor group 0: 20 processors 11/6/2022 12:49:22 PM \| \| Host name: HP-PC 11/6/2022 12:49:22 PM \| \| Processor: 20 GenuineIntel Intel(R) Core(TM) i9-10850K CPU @ 3.60GHz [Family 6 Model 165 Stepping 5] 11/6/2022 12:49:22 PM \| \| Processor features: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss htt tm pni ssse3 fma cx16 sse4_1 sse4_2 movebe popcnt aes f16c rdrandsyscall nx lm avx avx2 vmx tm2 pbe fsgsbase bmi1 smep bmi2 11/6/2022 12:49:22 PM \| \| OS: Microsoft Windows 10: Core x64 Edition, (10.00.19045.00) 11/6/2022 12:49:22 PM \| \| Memory: 63.90 GB physical, 80.90 GB virtual 11/6/2022 12:49:22 PM \| \| Disk: 14.55 TB total, 11.59 TB free 11/6/2022 12:49:22 PM \| \| Local time is UTC -6 hours 11/6/2022 12:49:22 PM \| \| No WSL found. 11/6/2022 12:49:27 PM \| \| General prefs: from http://setiathome.berkeley.edu/ (last modified 02-Dec-2007 01:12:04) 11/6/2022 12:49:27 PM \| \| Computer location: home 11/6/2022 12:49:27 PM \| \| General prefs: no separate prefs for home; using your defaults 11/6/2022 12:49:27 PM \| \| Preferences: 11/6/2022 12:49:27 PM \| \| max memory usage when active: 32717.09 MB 11/6/2022 12:49:27 PM \| \| max memory usage when idle: 58890.75 MB 11/6/2022 12:49:27 PM \| \| max disk usage: 1.00 GB 11/6/2022 12:49:27 PM \| \| don't compute while active 11/6/2022 12:49:27 PM \| \| don't use GPU while active 11/6/2022 12:49:27 PM \| \| suspend work if non-BOINC CPU load exceeds 25% 11/6/2022 12:49:27 PM \| \| (to change preferences, visit a project web site or select Preferences in the Manager) 11/6/2022 12:49:27 PM \| \| Setting up project and slot directories 11/6/2022 12:49:27 PM \| \| Checking active tasks 11/6/2022 12:49:27 PM \| Milkyway@Home \| URL http://milkyway.cs.rpi.edu/milkyway/; Computer ID 956458; resource share 90 11/6/2022 12:49:27 PM \| \| Setting up GUI RPC socket 11/6/2022 12:49:27 PM \| \| Checking presence of 83 project files 11/6/2022 12:49:27 PM \| \| Suspending network activity - computer is in use 11/6/2022 12:49:27 PM \| \| Remote desktop in use; disabling GPU tasks Here is the output from an OpenCL script to query the GPU: [ocldevicequery.exe] starting... ocldevicequery.exe Starting... OpenCL SW Info: CL_PLATFORM_NAME: NVIDIA CUDA CL_PLATFORM_VERSION: OpenCL 3.0 CUDA 11.8.87 OpenCL SDK Revision: 7027912 OpenCL Device Info: 1 devices found supporting OpenCL: --------------------------------- Device NVIDIA GeForce RTX 3070 --------------------------------- CL_DEVICE_NAME: NVIDIA GeForce RTX 3070 CL_DEVICE_VENDOR: NVIDIA Corporation CL_DRIVER_VERSION: 522.30 CL_DEVICE_VERSION: OpenCL 3.0 CUDA CL_DEVICE_OPENCL_C_VERSION: OpenCL C 1.2 CL_DEVICE_TYPE: CL_DEVICE_TYPE_GPU CL_DEVICE_MAX_COMPUTE_UNITS: 46 CL_DEVICE_MAX_WORK_ITEM_DIMENSIONS: 3 CL_DEVICE_MAX_WORK_ITEM_SIZES: 1024 / 1024 / 64 CL_DEVICE_MAX_WORK_GROUP_SIZE: 1024 CL_DEVICE_MAX_CLOCK_FREQUENCY: 1905 MHz CL_DEVICE_ADDRESS_BITS: 64 CL_DEVICE_MAX_MEM_ALLOC_SIZE: 2047 MByte CL_DEVICE_GLOBAL_MEM_SIZE: 8191 MByte CL_DEVICE_ERROR_CORRECTION_SUPPORT: no CL_DEVICE_LOCAL_MEM_TYPE: local CL_DEVICE_LOCAL_MEM_SIZE: 48 KByte CL_DEVICE_MAX_CONSTANT_BUFFER_SIZE: 64 KByte CL_DEVICE_QUEUE_PROPERTIES: CL_QUEUE_OUT_OF_ORDER_EXEC_MODE_ENABLE CL_DEVICE_QUEUE_PROPERTIES: CL_QUEUE_PROFILING_ENABLE CL_DEVICE_IMAGE_SUPPORT: 1 CL_DEVICE_MAX_READ_IMAGE_ARGS: 256 CL_DEVICE_MAX_WRITE_IMAGE_ARGS: 32 CL_DEVICE_SINGLE_FP_CONFIG: denorms INF-quietNaNs round-to-nearest round-to-zero round-to-inf fma CL_DEVICE_IMAGE <dim> 2D_MAX_WIDTH 32768 2D_MAX_HEIGHT 32768 3D_MAX_WIDTH 16384 3D_MAX_HEIGHT 16384 3D_MAX_DEPTH 16384 CL_DEVICE_EXTENSIONS: cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_khr_fp64 cl_khr_3d_image_writes cl_khr_byte_addressable_store cl_khr_icd cl_khr_gl_sharing cl_nv_compiler_options cl_nv_device_attribute_query cl_nv_pragma_unroll cl_nv_d3d10_sharing cl_khr_d3d10_sharing cl_nv_d3d11_sharing cl_nv_copy_opts cl_nv_create_buffer cl_khr_int64_base_atomics cl_khr_int64_extended_atomics cl_khr_device_uuid cl_khr_pci_bus_info cl_khr_external_semaphore cl_khr_external_memory cl_khr_external_semaphore_win32 CL_DEVICE_COMPUTE_CAPABILITY_NV: 8.6 NUMBER OF MULTIPROCESSORS: 46 MapSMtoCores SM 8.6 is undefined (please update to the latest SDK)! NUMBER OF CUDA CORES: 4294967250 CL_DEVICE_REGISTERS_PER_BLOCK_NV: 65536 CL_DEVICE_WARP_SIZE_NV: 32 CL_DEVICE_GPU_OVERLAP_NV: CL_TRUE CL_DEVICE_KERNEL_EXEC_TIMEOUT_NV: CL_TRUE CL_DEVICE_INTEGRATED_MEMORY_NV: CL_FALSE CL_DEVICE_PREFERRED_VECTOR_WIDTH_<t> CHAR 1, SHORT 1, INT 1, LONG 1, FLOAT 1, DOUBLE 1 --------------------------------- 2D Image Formats Supported (78) --------------------------------- # Channel Order Channel Type 1 CL_R CL_FLOAT 2 CL_R CL_HALF_FLOAT 3 CL_R CL_UNORM_INT8 4 CL_R CL_UNORM_INT16 5 CL_R CL_SNORM_INT16 6 CL_R CL_SIGNED_INT8 7 CL_R CL_SIGNED_INT16 8 CL_R CL_SIGNED_INT32 9 CL_R CL_UNSIGNED_INT8 10 CL_R CL_UNSIGNED_INT16 11 CL_R CL_UNSIGNED_INT32 12 CL_A CL_FLOAT 13 CL_A CL_HALF_FLOAT 14 CL_A CL_UNORM_INT8 15 CL_A CL_UNORM_INT16 16 CL_A CL_SNORM_INT16 17 CL_A CL_SIGNED_INT8 18 CL_A CL_SIGNED_INT16 19 CL_A CL_SIGNED_INT32 20 CL_A CL_UNSIGNED_INT8 21 CL_A CL_UNSIGNED_INT16 22 CL_A CL_UNSIGNED_INT32 23 CL_RG CL_FLOAT 24 CL_RG CL_HALF_FLOAT 25 CL_RG CL_UNORM_INT8 26 CL_RG CL_UNORM_INT16 27 CL_RG CL_SNORM_INT16 28 CL_RG CL_SIGNED_INT8 29 CL_RG CL_SIGNED_INT16 30 CL_RG CL_SIGNED_INT32 31 CL_RG CL_UNSIGNED_INT8 32 CL_RG CL_UNSIGNED_INT16 33 CL_RG CL_UNSIGNED_INT32 34 CL_RA CL_FLOAT 35 CL_RA CL_HALF_FLOAT 36 CL_RA CL_UNORM_INT8 37 CL_RA CL_UNORM_INT16 38 CL_RA CL_SNORM_INT16 39 CL_RA CL_SIGNED_INT8 40 CL_RA CL_SIGNED_INT16 41 CL_RA CL_SIGNED_INT32 42 CL_RA CL_UNSIGNED_INT8 43 CL_RA CL_UNSIGNED_INT16 44 CL_RA CL_UNSIGNED_INT32 45 CL_RGBA CL_FLOAT 46 CL_RGBA CL_HALF_FLOAT 47 CL_RGBA CL_UNORM_INT8 48 CL_RGBA CL_UNORM_INT16 49 CL_RGBA CL_SNORM_INT16 50 CL_RGBA CL_SIGNED_INT8 51 CL_RGBA CL_SIGNED_INT16 52 CL_RGBA CL_SIGNED_INT32 53 CL_RGBA CL_UNSIGNED_INT8 54 CL_RGBA CL_UNSIGNED_INT16 55 CL_RGBA CL_UNSIGNED_INT32 56 CL_BGRA CL_UNORM_INT8 57 CL_BGRA CL_SIGNED_INT8 58 CL_BGRA CL_UNSIGNED_INT8 59 CL_ARGB CL_UNORM_INT8 60 CL_ARGB CL_SIGNED_INT8 61 CL_ARGB CL_UNSIGNED_INT8 62 CL_INTENSITY CL_FLOAT 63 CL_INTENSITY CL_HALF_FLOAT 64 CL_INTENSITY CL_UNORM_INT8 65 CL_INTENSITY CL_UNORM_INT16 66 CL_INTENSITY CL_SNORM_INT16 67 CL_LUMINANCE CL_FLOAT 68 CL_LUMINANCE CL_HALF_FLOAT 69 CL_LUMINANCE CL_UNORM_INT8 70 CL_LUMINANCE CL_UNORM_INT16 71 CL_LUMINANCE CL_SNORM_INT16 72 CL_BGRA CL_SNORM_INT8 73 CL_BGRA CL_SNORM_INT16 74 CL_ARGB CL_SNORM_INT8 75 CL_ARGB CL_SNORM_INT16 76 Unknown CL_FLOAT 77 Unknown CL_UNORM_INT16 78 Unknown CL_UNORM_INT8 --------------------------------- 3D Image Formats Supported (76) --------------------------------- # Channel Order Channel Type 1 CL_R CL_FLOAT 2 CL_R CL_HALF_FLOAT 3 CL_R CL_UNORM_INT8 4 CL_R CL_UNORM_INT16 5 CL_R CL_SNORM_INT16 6 CL_R CL_SIGNED_INT8 7 CL_R CL_SIGNED_INT16 8 CL_R CL_SIGNED_INT32 9 CL_R CL_UNSIGNED_INT8 10 CL_R CL_UNSIGNED_INT16 11 CL_R CL_UNSIGNED_INT32 12 CL_A CL_FLOAT 13 CL_A CL_HALF_FLOAT 14 CL_A CL_UNORM_INT8 15 CL_A CL_UNORM_INT16 16 CL_A CL_SNORM_INT16 17 CL_A CL_SIGNED_INT8 18 CL_A CL_SIGNED_INT16 19 CL_A CL_SIGNED_INT32 20 CL_A CL_UNSIGNED_INT8 21 CL_A CL_UNSIGNED_INT16 22 CL_A CL_UNSIGNED_INT32 23 CL_RG CL_FLOAT 24 CL_RG CL_HALF_FLOAT 25 CL_RG CL_UNORM_INT8 26 CL_RG CL_UNORM_INT16 27 CL_RG CL_SNORM_INT16 28 CL_RG CL_SIGNED_INT8 29 CL_RG CL_SIGNED_INT16 30 CL_RG CL_SIGNED_INT32 31 CL_RG CL_UNSIGNED_INT8 32 CL_RG CL_UNSIGNED_INT16 33 CL_RG CL_UNSIGNED_INT32 34 CL_RA CL_FLOAT 35 CL_RA CL_HALF_FLOAT 36 CL_RA CL_UNORM_INT8 37 CL_RA CL_UNORM_INT16 38 CL_RA CL_SNORM_INT16 39 CL_RA CL_SIGNED_INT8 40 CL_RA CL_SIGNED_INT16 41 CL_RA CL_SIGNED_INT32 42 CL_RA CL_UNSIGNED_INT8 43 CL_RA CL_UNSIGNED_INT16 44 CL_RA CL_UNSIGNED_INT32 45 CL_RGBA CL_FLOAT 46 CL_RGBA CL_HALF_FLOAT 47 CL_RGBA CL_UNORM_INT8 48 CL_RGBA CL_UNORM_INT16 49 CL_RGBA CL_SNORM_INT16 50 CL_RGBA CL_SIGNED_INT8 51 CL_RGBA CL_SIGNED_INT16 52 CL_RGBA CL_SIGNED_INT32 53 CL_RGBA CL_UNSIGNED_INT8 54 CL_RGBA CL_UNSIGNED_INT16 55 CL_RGBA CL_UNSIGNED_INT32 56 CL_BGRA CL_UNORM_INT8 57 CL_BGRA CL_SIGNED_INT8 58 CL_BGRA CL_UNSIGNED_INT8 59 CL_ARGB CL_UNORM_INT8 60 CL_ARGB CL_SIGNED_INT8 61 CL_ARGB CL_UNSIGNED_INT8 62 CL_INTENSITY CL_FLOAT 63 CL_INTENSITY CL_HALF_FLOAT 64 CL_INTENSITY CL_UNORM_INT8 65 CL_INTENSITY CL_UNORM_INT16 66 CL_INTENSITY CL_SNORM_INT16 67 CL_LUMINANCE CL_FLOAT 68 CL_LUMINANCE CL_HALF_FLOAT 69 CL_LUMINANCE CL_UNORM_INT8 70 CL_LUMINANCE CL_UNORM_INT16 71 CL_LUMINANCE CL_SNORM_INT16 72 CL_BGRA CL_SNORM_INT8 73 CL_BGRA CL_SNORM_INT16 74 CL_ARGB CL_SNORM_INT8 75 CL_ARGB CL_SNORM_INT16 76 Unknown CL_UNORM_INT8 oclDeviceQuery, Platform Name = NVIDIA CUDA, Platform Version = OpenCL 3.0 CUDA 11.8.87, SDK Revision = 7027912, NumDevs = 1, Device = NVIDIA GeForce RTX 3070 System Info: Local Time/Date = 12:47:10, 11/6/2022 CPU Arch: 9 CPU Level: 6 # of CPU processors: 20 Windows Build: 9200 Windows Ver: 6.2 (Windows Vista / Windows 7) [ocldevicequery.exe] test results... PASSED
2) Message boards : Questions and problems : Milkyway@Home - Massive Performance Issue - 1 Job Taking 8 CPUs vs 8 Jobs Taking 1 CPU Each (Message 110167) Posted 21 Oct 2022 by Babynetman Post: I'm not worrying about it. I simply thought something might be wrong and, if so, someone might care. If there's nothing wrong, there's nothing wrong, and if no one cares, no one cares. "No good deed goes unpunished..."
3) Message boards : Questions and problems : Milkyway@Home - Massive Performance Issue - 1 Job Taking 8 CPUs vs 8 Jobs Taking 1 CPU Each (Message 110119) Posted 16 Oct 2022 by Babynetman Post: I thought this is the milkyway@home forum, not the BOINC program forum. Apologies, if I'm mistaken. If this issue is more suited for the other forum, I'm happy to move the concern there...
4) Message boards : Questions and problems : Milkyway@Home - Massive Performance Issue - 1 Job Taking 8 CPUs vs 8 Jobs Taking 1 CPU Each (Message 110118) Posted 16 Oct 2022 by Babynetman Post: The BOINC Statistics display for host average. The average on the host dropped from just over 7000 per day to well under 2000 in 3 weeks - the graph does not offer enough precision to estimate better than that. Since terminating the 8 CPU tasks the average has climbed over 4500 in just a few days. The only difference is the allocation of the 8 CPU tasks...
5) Message boards : Questions and problems : Milkyway@Home - Massive Performance Issue - 1 Job Taking 8 CPUs vs 8 Jobs Taking 1 CPU Each (Message 110112) Posted 15 Oct 2022 by Babynetman Post: The task is labeled 8 CPU, but thanks for the clarification. If the project is using the same number of cores, either 8 x 1 or 1 x 8, the throughput should have remained the same. It appears the task that is consuming all 8 threads at once is performing only slightly better than the process that takes a single thread from a time consumed and estimated time of completion. The statistics bear this out as it shows a huge drop in processing since the 8 CPU tasks started appearing. I agree, if the N-Body tasks are completely different than the standard simulation, comparing processing time could be apples to oranges, but the statistics should convey similar values as the productivity should match. Since they don't, I am just suggesting someone take a look to avoid a huge loss of productivity, or at least the appearance of a loss of productivity.
6) Message boards : Questions and problems : Milkyway@Home - Massive Performance Issue - 1 Job Taking 8 CPUs vs 8 Jobs Taking 1 CPU Each (Message 110087) Posted 12 Oct 2022 by Babynetman Post: Thanks. I made the preference change. It's not that I don't want them. They are performing approximately 8 times worse than single threaded tasks. For example: An 8 CPU task is 80.641% done and estimated remaining is 01:34:50. In contrast, two single CPU tasks are both at 7% done and estimated remaining is :01:38:53. I'm using an i7-2600 @ 3.40GHz with 8GB of RAM.
7) Message boards : Questions and problems : Milkyway@Home - Massive Performance Issue - 1 Job Taking 8 CPUs vs 8 Jobs Taking 1 CPU Each (Message 110077) Posted 11 Oct 2022 by Babynetman Post: I noticed recently that my per host average was dropping dramatically, from 8000 to less than 2000. I found that my task queue had Milkyway@Home tasks that were apparently configured to each take 8 CPUs instead of the normal 1 CPU per task. I noticed the performance of the 8 CPU task was no different than that of a 1 CPU task. I aborted the task and let BOINC reload a new task list. It dropped a batch of 1 CPU tasks, and they all started working as normal. A bit later, I decided to check on progress and saw there was again a single 8 CPU task running, and several 1 CPU tasks were waiting to run and that the single 8 CPU task was progressing at the same rate as a 1 CPU task. This time, I suspended the 8 CPU task and let the batch of 1 CPU tasks run, and then resumed the 8 CPU task. They all progressed at the same rate, and all looked fine again. However, after a few minutes, the 8 CPU task was running alone, and the 1 CPU tasks were again waiting to run, and the performance of the 8 CPU task was still the same as a 1 CPU task. If others are experiencing this same issue, processing throughput for Milkyway at home will be massively impacted...

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